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AI contract management in Microsoft 365: how SharePoint Knowledge Agents turn stored contracts into queryable sources of truth
Season 1
Published 4 months ago
Description
(00:00:00) Introducing a New Way of Interacting with Contracts
(00:00:39) The Hidden Costs of Manual Search
(00:02:13) Storage vs. Answer Thinking
(00:05:17) AI-Powered Contract Extraction
(00:06:15) NDAs: Expiring Contracts at Your Fingertips
(00:20:11) Vendor Agreements: Transparency in Financial Terms
(00:25:25) Statements of Work: Streamlining Approval Processes
(00:30:27) Data Protection Agreements: Compliance Made Easy
(00:36:40) The Mechanics of Answering Contracts
(00:36:55) The Ordinary Tools, Extraordinary Results
In this episode of m365.fm, Mirko Peters explores one of the most practical and most underused applications of AI inside Microsoft 365: making contracts answer questions. Most organizations treat contracts as files — stored carefully in SharePoint, labeled correctly, retrieved through manual search when someone needs them. But search is slow, reading is repetitive, and risk hides in the time it takes to find the right clause in the right document at the right moment. This episode is about what changes when contracts stop being stored documents and start being queryable sources of truth — without leaving Microsoft 365, without breaking governance, and without risky automation that nobody can explain to a compliance team.
WHY STORING CONTRACTS CORRECTLY IS NOT THE SAME AS MANAGING THEM
The assumption most organizations operate on is that if contracts are stored securely and labeled correctly, the contract management problem is solved. It is not. Storing a contract correctly means it exists in a known location with the right permissions. It does not mean anyone can quickly find which contracts expire in the next thirty days, which vendor agreements auto-renew with less than sixty days notice, or where indemnity clauses are non-mutual across the entire portfolio. Those questions require reading — and reading at scale is exactly where manual contract management consistently fails. Risk does not accumulate because contracts are stored badly. It accumulates because the questions that matter cannot be answered without significant manual effort.
HOW AI TURNS DOCUMENTS INTO ANSWERABLE DATA INSIDE MICROSOFT 365
The approach explored in this episode uses AI document processing to extract key facts from contracts already stored in SharePoint — expiration dates, renewal logic, notice windows, payment terms, indemnity clauses, governing law — and write them into SharePoint metadata without moving the file. The contracts stay where they are. The permissions still apply. The Purview sensitivity and retention labels persist. The audit log captures every query and every answer. Nothing leaves the tenant. What changes is the interface: instead of searching for a document and reading it, users ask a question and receive a precise answer with clause-level citations pointing back to the exact sentence that governs it.
WHAT REAL CONTRACT QUESTIONS LOOK LIKE WHEN THE SYSTEM WORKS
The episode walks through concrete examples of questions the system answers: which contracts expire in the next thirty days, where indemnity is non-mutual, which master service agreements auto-renew with less than sixty days notice, and which statements of work are stuck awaiting signature. Each answer comes with exact citations — not summaries or model-generated guesses, but direct references to the specific clause in the specific document. That distinction matters enormously for legal and compliance teams: trust does not scale on summaries. It scales on verifiable evidence that a human can check in seconds rather than spending twenty minutes re-reading an entire agreement.
WHY GOVERNANCE DOES NOT MOVE WHEN AI IS APPLIED THIS WAY
One of the most important design principles in this episode is that the entire AI layer operates within the existing Microsoft 365 control plane. Files stay in SharePoint. Perm
(00:00:39) The Hidden Costs of Manual Search
(00:02:13) Storage vs. Answer Thinking
(00:05:17) AI-Powered Contract Extraction
(00:06:15) NDAs: Expiring Contracts at Your Fingertips
(00:20:11) Vendor Agreements: Transparency in Financial Terms
(00:25:25) Statements of Work: Streamlining Approval Processes
(00:30:27) Data Protection Agreements: Compliance Made Easy
(00:36:40) The Mechanics of Answering Contracts
(00:36:55) The Ordinary Tools, Extraordinary Results
In this episode of m365.fm, Mirko Peters explores one of the most practical and most underused applications of AI inside Microsoft 365: making contracts answer questions. Most organizations treat contracts as files — stored carefully in SharePoint, labeled correctly, retrieved through manual search when someone needs them. But search is slow, reading is repetitive, and risk hides in the time it takes to find the right clause in the right document at the right moment. This episode is about what changes when contracts stop being stored documents and start being queryable sources of truth — without leaving Microsoft 365, without breaking governance, and without risky automation that nobody can explain to a compliance team.
WHY STORING CONTRACTS CORRECTLY IS NOT THE SAME AS MANAGING THEM
The assumption most organizations operate on is that if contracts are stored securely and labeled correctly, the contract management problem is solved. It is not. Storing a contract correctly means it exists in a known location with the right permissions. It does not mean anyone can quickly find which contracts expire in the next thirty days, which vendor agreements auto-renew with less than sixty days notice, or where indemnity clauses are non-mutual across the entire portfolio. Those questions require reading — and reading at scale is exactly where manual contract management consistently fails. Risk does not accumulate because contracts are stored badly. It accumulates because the questions that matter cannot be answered without significant manual effort.
HOW AI TURNS DOCUMENTS INTO ANSWERABLE DATA INSIDE MICROSOFT 365
The approach explored in this episode uses AI document processing to extract key facts from contracts already stored in SharePoint — expiration dates, renewal logic, notice windows, payment terms, indemnity clauses, governing law — and write them into SharePoint metadata without moving the file. The contracts stay where they are. The permissions still apply. The Purview sensitivity and retention labels persist. The audit log captures every query and every answer. Nothing leaves the tenant. What changes is the interface: instead of searching for a document and reading it, users ask a question and receive a precise answer with clause-level citations pointing back to the exact sentence that governs it.
WHAT REAL CONTRACT QUESTIONS LOOK LIKE WHEN THE SYSTEM WORKS
The episode walks through concrete examples of questions the system answers: which contracts expire in the next thirty days, where indemnity is non-mutual, which master service agreements auto-renew with less than sixty days notice, and which statements of work are stuck awaiting signature. Each answer comes with exact citations — not summaries or model-generated guesses, but direct references to the specific clause in the specific document. That distinction matters enormously for legal and compliance teams: trust does not scale on summaries. It scales on verifiable evidence that a human can check in seconds rather than spending twenty minutes re-reading an entire agreement.
WHY GOVERNANCE DOES NOT MOVE WHEN AI IS APPLIED THIS WAY
One of the most important design principles in this episode is that the entire AI layer operates within the existing Microsoft 365 control plane. Files stay in SharePoint. Perm